To ensure the accuracy and precision of data collected for analysis, what must be created initially?

The creation of a Measurement System Analysis is crucial to ensure the accuracy and precision of data collected for analysis. This process involves evaluating the measurement system to determine how well it performs in terms of repeatability and reproducibility. By assessing these characteristics, organizations can identify any potential issues that may affect the validity of the data. A robust measurement system confirms that the data being used for subsequent analysis is both reliable and valid, which is essential for making informed decisions based on that data.

Control Charts, while useful for monitoring process stability and variance over time, do not directly assess the quality of the measurement system itself. A Process Map can help visualize workflows and identify steps in a process, but it does not evaluate measurement accuracy. Risk Assessments focus on identifying potential risks in a project or process but do not specifically address the precision and accuracy of the data collection methods. Thus, Measurement System Analysis stands out as the vital initial step to establish a strong foundation for data integrity in any improvement initiative.